Erwan Scornet

19 papers and 2.6k indexed citations i.

About

Erwan Scornet is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erwan Scornet has authored 19 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erwan Scornet’s work include Neural Networks and Applications (8 papers), Statistical Methods and Inference (6 papers) and Machine Learning and Data Classification (6 papers). Erwan Scornet is often cited by papers focused on Neural Networks and Applications (8 papers), Statistical Methods and Inference (6 papers) and Machine Learning and Data Classification (6 papers). Erwan Scornet collaborates with scholars based in France, United States and United Kingdom. Erwan Scornet's co-authors include Gérard Biau, Jean‐Philippe Vert, Johannes Welbl, Sébastien da Veiga, Stéphane Gaïffas, Julie Josse, Gaël Varoquaux, Jean‐Claude Carel, Elsa Bernard and Thomas Walter and has published in prestigious journals such as IEEE Transactions on Information Theory, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Erwan Scornet i

Fields of papers citing papers by Erwan Scornet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwan Scornet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Erwan Scornet. The network helps show where Erwan Scornet may publish in the future.

Countries citing papers authored by Erwan Scornet

Since Specialization
Citations

This map shows the geographic impact of Erwan Scornet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Erwan Scornet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwan Scornet more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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